Overview

Brought to you by YData

Dataset statistics

Number of variables22
Number of observations2565
Missing cells0
Missing cells (%)0.0%
Duplicate rows72
Duplicate rows (%)2.8%
Total size in memory437.0 KiB
Average record size in memory174.5 B

Variable types

Numeric19
Categorical2
Boolean1

Alerts

Dataset has 72 (2.8%) duplicate rowsDuplicates
feature_18 is uniformly distributedUniform
cell_y has 135 (5.3%) zerosZeros
feature_10 has 633 (24.7%) zerosZeros
feature_15 has 340 (13.3%) zerosZeros
feature_16 has 297 (11.6%) zerosZeros
feature_17 has 67 (2.6%) zerosZeros
feature_19 has 178 (6.9%) zerosZeros

Reproduction

Analysis started2024-09-06 14:47:30.904820
Analysis finished2024-09-06 14:57:05.677492
Duration9 minutes and 34.77 seconds
Software versionydata-profiling vv4.9.0
Download configurationconfig.json

Variables

cell_x
Real number (ℝ)

Distinct17
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.4820518 × 10-15
Minimum-2800
Maximum2800
Zeros0
Zeros (%)0.0%
Negative1215
Negative (%)47.4%
Memory size33.7 KiB
2024-09-06T17:57:06.607906image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-2800
5-th percentile-2800
Q1-1400
median4.733991 × 10-13
Q31400
95-th percentile2800
Maximum2800
Range5600
Interquartile range (IQR)2800

Descriptive statistics

Standard deviation1573.771
Coefficient of variation (CV)6.3406048 × 1017
Kurtosis-1.070059
Mean2.4820518 × 10-15
Median Absolute Deviation (MAD)1400
Skewness-1.2223799 × 10-17
Sum6.3664629 × 10-12
Variance2476755.1
MonotonicityNot monotonic
2024-09-06T17:57:08.266826image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%)
1400 270
 
10.5%
2100 270
 
10.5%
-2100 135
 
5.3%
1400 135
 
5.3%
-6.821210263 × 10-13135
 
5.3%
700 135
 
5.3%
-2800 135
 
5.3%
-2100 135
 
5.3%
-1400 135
 
5.3%
-1400 135
 
5.3%
Other values (7) 945
36.8%
ValueCountFrequency (%)
-2800 135
5.3%
-2100 135
5.3%
-2100 135
5.3%
-1400 135
5.3%
-1400 135
5.3%
-1400 135
5.3%
-700 135
5.3%
-700 135
5.3%
-6.821210263 × 10-13135
5.3%
4.733990977 × 10-13135
5.3%
ValueCountFrequency (%)
2800 135
5.3%
2100 270
10.5%
1400 270
10.5%
1400 135
5.3%
700 135
5.3%
700 135
5.3%
9.094947018 × 10-13135
5.3%
4.733990977 × 10-13135
5.3%
-6.821210263 × 10-13135
5.3%
-700 135
5.3%

cell_y
Real number (ℝ)

ZEROS 

Distinct15
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-2.0423741 × 10-13
Minimum-2424.8711
Maximum2424.8711
Zeros135
Zeros (%)5.3%
Negative1215
Negative (%)47.4%
Memory size33.7 KiB
2024-09-06T17:57:09.318767image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-2424.8711
5-th percentile-2424.8711
Q1-1212.4356
median0
Q31212.4356
95-th percentile2424.8711
Maximum2424.8711
Range4849.7423
Interquartile range (IQR)2424.8711

Descriptive statistics

Standard deviation1573.771
Coefficient of variation (CV)-7.7055961 × 1015
Kurtosis-1.070059
Mean-2.0423741 × 10-13
Median Absolute Deviation (MAD)1212.4356
Skewness-2.2308434 × 10-16
Sum-5.2386895 × 10-10
Variance2476755.1
MonotonicityNot monotonic
2024-09-06T17:57:10.282533image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=15)
ValueCountFrequency (%)
1212.435565 270
 
10.5%
1212.435565 270
 
10.5%
-1212.435565 270
 
10.5%
-2424.871131 270
 
10.5%
1.136868377 × 10-13135
 
5.3%
4.547473509 × 10-13135
 
5.3%
-6.927791674 × 10-14135
 
5.3%
-1212.435565 135
 
5.3%
-2424.871131 135
 
5.3%
0 135
 
5.3%
Other values (5) 675
26.3%
ValueCountFrequency (%)
-2424.871131 135
5.3%
-2424.871131 270
10.5%
-1212.435565 270
10.5%
-1212.435565 135
5.3%
-1212.435565 135
5.3%
-4.547473509 × 10-13135
5.3%
-6.927791674 × 10-14135
5.3%
0 135
5.3%
1.136868377 × 10-13135
5.3%
4.547473509 × 10-13135
5.3%
ValueCountFrequency (%)
2424.871131 135
5.3%
2424.871131 135
5.3%
2424.871131 135
5.3%
1212.435565 270
10.5%
1212.435565 270
10.5%
4.547473509 × 10-13135
5.3%
1.136868377 × 10-13135
5.3%
0 135
5.3%
-6.927791674 × 10-14135
5.3%
-4.547473509 × 10-13135
5.3%

cell_z
Real number (ℝ)

Distinct12
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean46.631579
Minimum30
Maximum60
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size33.7 KiB
2024-09-06T17:57:11.404590image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum30
5-th percentile30
Q136
median48
Q354
95-th percentile60
Maximum60
Range30
Interquartile range (IQR)18

Descriptive statistics

Standard deviation9.3162675
Coefficient of variation (CV)0.19978452
Kurtosis-1.2227111
Mean46.631579
Median Absolute Deviation (MAD)6
Skewness-0.34148303
Sum119610
Variance86.79284
MonotonicityNot monotonic
2024-09-06T17:57:13.496562image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
54 540
21.1%
36 270
10.5%
58 270
10.5%
44 270
10.5%
52 270
10.5%
46 135
 
5.3%
60 135
 
5.3%
30 135
 
5.3%
48 135
 
5.3%
34 135
 
5.3%
Other values (2) 270
10.5%
ValueCountFrequency (%)
30 135
 
5.3%
32 135
 
5.3%
34 135
 
5.3%
36 270
10.5%
40 135
 
5.3%
44 270
10.5%
46 135
 
5.3%
48 135
 
5.3%
52 270
10.5%
54 540
21.1%
ValueCountFrequency (%)
60 135
 
5.3%
58 270
10.5%
54 540
21.1%
52 270
10.5%
48 135
 
5.3%
46 135
 
5.3%
44 270
10.5%
40 135
 
5.3%
36 270
10.5%
34 135
 
5.3%

feature_1
Categorical

Distinct4
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size33.7 KiB
0.0
1680 
3.0
315 
1.0
315 
2.0
255 

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters7695
Distinct characters5
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0.0
2nd row2.0
3rd row0.0
4th row3.0
5th row0.0

Common Values

ValueCountFrequency (%)
0.0 1680
65.5%
3.0 315
 
12.3%
1.0 315
 
12.3%
2.0 255
 
9.9%

Length

2024-09-06T17:57:15.770679image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-09-06T17:57:17.847837image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
ValueCountFrequency (%)
0.0 1680
65.5%
3.0 315
 
12.3%
1.0 315
 
12.3%
2.0 255
 
9.9%

Most occurring characters

ValueCountFrequency (%)
0 4245
55.2%
. 2565
33.3%
3 315
 
4.1%
1 315
 
4.1%
2 255
 
3.3%

Most occurring categories

ValueCountFrequency (%)
(unknown) 7695
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
0 4245
55.2%
. 2565
33.3%
3 315
 
4.1%
1 315
 
4.1%
2 255
 
3.3%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 7695
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
0 4245
55.2%
. 2565
33.3%
3 315
 
4.1%
1 315
 
4.1%
2 255
 
3.3%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 7695
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
0 4245
55.2%
. 2565
33.3%
3 315
 
4.1%
1 315
 
4.1%
2 255
 
3.3%

feature_2
Real number (ℝ)

Distinct2126
Distinct (%)82.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean28223175
Minimum1980.031
Maximum1.0011778 × 108
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size33.7 KiB
2024-09-06T17:57:20.240224image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum1980.031
5-th percentile232867.8
Q11627090.5
median19111089
Q353904944
95-th percentile76838344
Maximum1.0011778 × 108
Range1.001158 × 108
Interquartile range (IQR)52277853

Descriptive statistics

Standard deviation27533091
Coefficient of variation (CV)0.97554905
Kurtosis-0.99174542
Mean28223175
Median Absolute Deviation (MAD)18156222
Skewness0.64209233
Sum7.2392443 × 1010
Variance7.5807112 × 1014
MonotonicityNot monotonic
2024-09-06T17:57:22.584005image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
12618577.02 11
 
0.4%
23372888.81 10
 
0.4%
22947977.6 9
 
0.4%
11029513.91 8
 
0.3%
21416483.49 8
 
0.3%
20913196.18 7
 
0.3%
20958936.7 6
 
0.2%
23493252.74 6
 
0.2%
24760905.6 6
 
0.2%
978632.0078 5
 
0.2%
Other values (2116) 2489
97.0%
ValueCountFrequency (%)
1980.030969 1
 
< 0.1%
1984.702048 1
 
< 0.1%
1999.380657 1
 
< 0.1%
2006.991707 1
 
< 0.1%
2025.397332 1
 
< 0.1%
2034.695969 1
 
< 0.1%
2034.697805 3
0.1%
2035.975599 1
 
< 0.1%
2036.904181 1
 
< 0.1%
2059.654992 1
 
< 0.1%
ValueCountFrequency (%)
100117777.1 1
< 0.1%
99396561.03 1
< 0.1%
99078276.03 1
< 0.1%
98884391.93 1
< 0.1%
98062563.59 1
< 0.1%
96784150.93 1
< 0.1%
96709512.88 1
< 0.1%
96207409.78 1
< 0.1%
95194576.95 1
< 0.1%
94899020.7 1
< 0.1%

feature_3
Real number (ℝ)

Distinct1273
Distinct (%)49.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean32310991
Minimum9659.5997
Maximum89440473
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size33.7 KiB
2024-09-06T17:57:25.196366image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum9659.5997
5-th percentile5366279.5
Q116758290
median25011495
Q347404016
95-th percentile74479508
Maximum89440473
Range89430814
Interquartile range (IQR)30645725

Descriptive statistics

Standard deviation21282491
Coefficient of variation (CV)0.65867651
Kurtosis-0.41365825
Mean32310991
Median Absolute Deviation (MAD)12498128
Skewness0.75989889
Sum8.2877692 × 1010
Variance4.5294443 × 1014
MonotonicityNot monotonic
2024-09-06T17:57:27.409435image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
31602824.08 15
 
0.6%
8935933.857 15
 
0.6%
33387712.72 15
 
0.6%
1792694.378 15
 
0.6%
3579604.148 15
 
0.6%
39023386.42 15
 
0.6%
8942846.244 15
 
0.6%
81352817.61 15
 
0.6%
38469427.51 15
 
0.6%
36681172.01 15
 
0.6%
Other values (1263) 2415
94.2%
ValueCountFrequency (%)
9659.599658 15
0.6%
1790455.298 1
 
< 0.1%
1791292.894 2
 
0.1%
1792694.378 15
0.6%
3576622.509 6
 
0.2%
3577460.104 1
 
< 0.1%
3577460.104 2
 
0.1%
3577968.237 5
 
0.2%
3579604.148 15
0.6%
3580112.281 5
 
0.2%
ValueCountFrequency (%)
89440473.21 1
 
< 0.1%
89160375.26 1
 
< 0.1%
89048999.73 1
 
< 0.1%
87656600.83 1
 
< 0.1%
87654306 1
 
< 0.1%
87262832.52 5
0.2%
86400846.47 1
 
< 0.1%
85476665.31 2
 
0.1%
85476665.31 2
 
0.1%
84921840.92 2
 
0.1%

feature_4
Real number (ℝ)

Distinct955
Distinct (%)37.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean26530715
Minimum713.71734
Maximum1.4068104 × 108
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size33.7 KiB
2024-09-06T17:57:29.469727image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum713.71734
5-th percentile1825.4786
Q1659911.32
median14024148
Q346445708
95-th percentile88203790
Maximum1.4068104 × 108
Range1.4068032 × 108
Interquartile range (IQR)45785796

Descriptive statistics

Standard deviation30793399
Coefficient of variation (CV)1.1606698
Kurtosis0.64002015
Mean26530715
Median Absolute Deviation (MAD)14020606
Skewness1.1711776
Sum6.8051283 × 1010
Variance9.4823341 × 1014
MonotonicityNot monotonic
2024-09-06T17:57:31.858181image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
16086800.4 15
 
0.6%
4768.342678 15
 
0.6%
7777.860144 15
 
0.6%
54547461.66 15
 
0.6%
31605063.16 15
 
0.6%
4438.880044 15
 
0.6%
73913058.98 15
 
0.6%
4589.672356 15
 
0.6%
44101198.33 15
 
0.6%
8934560.251 15
 
0.6%
Other values (945) 2415
94.2%
ValueCountFrequency (%)
713.7173378 1
 
< 0.1%
713.7197364 3
0.1%
716.3630382 1
 
< 0.1%
733.8114784 1
 
< 0.1%
735.0740962 1
 
< 0.1%
737.9079606 1
 
< 0.1%
737.9079606 2
0.1%
759.4998524 1
 
< 0.1%
779.937883 1
 
< 0.1%
821.7944878 1
 
< 0.1%
ValueCountFrequency (%)
140681036 1
< 0.1%
138336492.9 1
< 0.1%
138336410.1 1
< 0.1%
138336405.4 1
< 0.1%
138336383.8 1
< 0.1%
138336057 1
< 0.1%
138335617.8 1
< 0.1%
138335388.9 1
< 0.1%
138334583.6 1
< 0.1%
138334541 1
< 0.1%

feature_5
Real number (ℝ)

Distinct371
Distinct (%)14.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1468.5685
Minimum242.17816
Maximum4211.5362
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size33.7 KiB
2024-09-06T17:57:34.219656image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum242.17816
5-th percentile468.87525
Q1804.55022
median1374.5939
Q31931.0423
95-th percentile3125.4148
Maximum4211.5362
Range3969.358
Interquartile range (IQR)1126.4921

Descriptive statistics

Standard deviation798.11006
Coefficient of variation (CV)0.54346124
Kurtosis0.53658215
Mean1468.5685
Median Absolute Deviation (MAD)560.48495
Skewness0.89773029
Sum3766878.2
Variance636979.66
MonotonicityNot monotonic
2024-09-06T17:57:36.472922image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
906.0205252 15
 
0.6%
885.0037154 15
 
0.6%
1593.706987 15
 
0.6%
1067.029651 15
 
0.6%
575.2176842 15
 
0.6%
3048.765874 15
 
0.6%
2069.200087 15
 
0.6%
994.0060362 15
 
0.6%
2806.717834 15
 
0.6%
725.5542709 15
 
0.6%
Other values (361) 2415
94.2%
ValueCountFrequency (%)
242.1781598 14
0.5%
251.009744 2
 
0.1%
279.2684937 1
 
< 0.1%
284.4098026 15
0.6%
324.8153322 2
 
0.1%
328.7963119 6
 
0.2%
358.0578908 2
 
0.1%
366.4503944 2
 
0.1%
376.008745 2
 
0.1%
382.9529997 2
 
0.1%
ValueCountFrequency (%)
4211.536154 6
 
0.2%
4018.567872 3
 
0.1%
3958.504372 15
0.6%
3941.524243 15
0.6%
3870.074547 5
 
0.2%
3649.776021 3
 
0.1%
3307.655487 15
0.6%
3274.906106 1
 
< 0.1%
3269.230643 15
0.6%
3251.62213 5
 
0.2%

feature_6
Real number (ℝ)

Distinct2379
Distinct (%)92.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.42060485
Minimum1.400874 × 10-5
Maximum2.420182
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size33.7 KiB
2024-09-06T17:57:38.752759image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum1.400874 × 10-5
5-th percentile0.020593341
Q10.09486627
median0.22985874
Q30.63704571
95-th percentile1.4980572
Maximum2.420182
Range2.420168
Interquartile range (IQR)0.54217944

Descriptive statistics

Standard deviation0.45318351
Coefficient of variation (CV)1.0774567
Kurtosis1.7234016
Mean0.42060485
Median Absolute Deviation (MAD)0.17475023
Skewness1.5034282
Sum1078.8515
Variance0.2053753
MonotonicityNot monotonic
2024-09-06T17:57:41.110677image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.1950934053 15
 
0.6%
0.289333029 7
 
0.3%
0.4030379678 6
 
0.2%
1.361764153 6
 
0.2%
0.287473936 5
 
0.2%
0.4030379678 5
 
0.2%
0.0978472736 5
 
0.2%
0.2338591266 4
 
0.2%
0.8756257509 4
 
0.2%
0.08557575888 4
 
0.2%
Other values (2369) 2504
97.6%
ValueCountFrequency (%)
1.400873964 × 10-51
< 0.1%
1.455941556 × 10-51
< 0.1%
1.514391363 × 10-51
< 0.1%
2.194258627 × 10-51
< 0.1%
2.24255926 × 10-51
< 0.1%
2.379341896 × 10-51
< 0.1%
2.883591572 × 10-51
< 0.1%
4.513094067 × 10-51
< 0.1%
4.514213305 × 10-51
< 0.1%
4.52734211 × 10-51
< 0.1%
ValueCountFrequency (%)
2.420182029 1
< 0.1%
2.420151768 1
< 0.1%
2.411082103 2
0.1%
2.369653271 1
< 0.1%
2.028581171 1
< 0.1%
2.027327282 1
< 0.1%
2.026365694 1
< 0.1%
2.021392157 1
< 0.1%
2.012634875 1
< 0.1%
2.009174715 1
< 0.1%

feature_7
Real number (ℝ)

Distinct2035
Distinct (%)79.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.56548041
Minimum0.14195867
Maximum1
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size33.7 KiB
2024-09-06T17:57:43.298500image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum0.14195867
5-th percentile0.2147223
Q10.34161148
median0.48163159
Q30.82646195
95-th percentile1
Maximum1
Range0.85804133
Interquartile range (IQR)0.48485047

Descriptive statistics

Standard deviation0.26697716
Coefficient of variation (CV)0.47212451
Kurtosis-1.259954
Mean0.56548041
Median Absolute Deviation (MAD)0.18508438
Skewness0.4163378
Sum1450.4573
Variance0.071276806
MonotonicityNot monotonic
2024-09-06T17:57:45.815785image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 41
 
1.6%
1 13
 
0.5%
1 6
 
0.2%
1 6
 
0.2%
0.9490593836 5
 
0.2%
0.6944035624 5
 
0.2%
0.886900866 5
 
0.2%
0.8715642472 5
 
0.2%
0.7373582493 5
 
0.2%
0.9999999896 5
 
0.2%
Other values (2025) 2469
96.3%
ValueCountFrequency (%)
0.1419586706 1
< 0.1%
0.1422299732 1
< 0.1%
0.1427306111 1
< 0.1%
0.1457898299 1
< 0.1%
0.1522143112 1
< 0.1%
0.1541392598 1
< 0.1%
0.1557194869 1
< 0.1%
0.1558967901 1
< 0.1%
0.158259385 1
< 0.1%
0.1593899781 1
< 0.1%
ValueCountFrequency (%)
1 41
1.6%
1 13
 
0.5%
1 6
 
0.2%
1 3
 
0.1%
1 4
 
0.2%
1 3
 
0.1%
1 4
 
0.2%
1 4
 
0.2%
1 5
 
0.2%
1 4
 
0.2%

feature_8
Real number (ℝ)

Distinct1282
Distinct (%)50.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean32314907
Minimum9659.5997
Maximum89440473
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size33.7 KiB
2024-09-06T17:57:47.938541image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum9659.5997
5-th percentile5366279.5
Q116758290
median25011673
Q347404373
95-th percentile74479508
Maximum89440473
Range89430814
Interquartile range (IQR)30646083

Descriptive statistics

Standard deviation21284356
Coefficient of variation (CV)0.65865441
Kurtosis-0.41427303
Mean32314907
Median Absolute Deviation (MAD)12498307
Skewness0.75962893
Sum8.2887735 × 1010
Variance4.530238 × 1014
MonotonicityNot monotonic
2024-09-06T17:57:50.496775image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
31881727.09 15
 
0.6%
9659.599658 15
 
0.6%
81353861.75 15
 
0.6%
8942846.244 15
 
0.6%
12513366.08 15
 
0.6%
12508530.58 15
 
0.6%
8935933.857 15
 
0.6%
10722514.16 15
 
0.6%
33387712.72 15
 
0.6%
31602824.08 15
 
0.6%
Other values (1272) 2415
94.2%
ValueCountFrequency (%)
9659.599658 15
0.6%
1790455.298 1
 
< 0.1%
1791292.894 2
 
0.1%
1792694.378 15
0.6%
3576622.509 6
 
0.2%
3577460.104 1
 
< 0.1%
3577460.104 2
 
0.1%
3577968.237 5
 
0.2%
3579604.148 15
0.6%
3580112.281 5
 
0.2%
ValueCountFrequency (%)
89440473.21 1
 
< 0.1%
89160375.26 1
 
< 0.1%
89049178.4 1
 
< 0.1%
87656600.83 1
 
< 0.1%
87654306 1
 
< 0.1%
87263011.19 2
0.1%
87263011.19 3
0.1%
86401203.69 1
 
< 0.1%
85476843.98 4
0.2%
84921840.92 2
0.1%

feature_9
Real number (ℝ)

Distinct370
Distinct (%)14.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.94235893
Minimum0.15713696
Maximum3.0082401
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size33.7 KiB
2024-09-06T17:57:52.462687image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum0.15713696
5-th percentile0.28107456
Q10.48543076
median0.85645853
Q31.2111748
95-th percentile2.0479468
Maximum3.0082401
Range2.8511031
Interquartile range (IQR)0.72574405

Descriptive statistics

Standard deviation0.54599998
Coefficient of variation (CV)0.57939705
Kurtosis0.97651109
Mean0.94235893
Median Absolute Deviation (MAD)0.37102777
Skewness1.0403576
Sum2417.1507
Variance0.29811598
MonotonicityNot monotonic
2024-09-06T17:57:54.581548image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.5645078347 15
 
0.6%
0.5514130389 15
 
0.6%
0.9929798006 15
 
0.6%
0.664826658 15
 
0.6%
0.3583968358 15
 
0.6%
1.899573105 15
 
0.6%
1.143237027 15
 
0.6%
0.5491902463 15
 
0.6%
1.550717 15
 
0.6%
0.4008701297 15
 
0.6%
Other values (360) 2415
94.2%
ValueCountFrequency (%)
0.1571369628 15
0.6%
0.1729843998 14
0.5%
0.1792926743 2
 
0.1%
0.1994774955 1
 
< 0.1%
0.204860805 6
 
0.2%
0.2155245741 2
 
0.1%
0.2230926111 2
 
0.1%
0.2320109515 2
 
0.1%
0.2327607389 2
 
0.1%
0.2445712028 4
 
0.2%
ValueCountFrequency (%)
3.00824011 6
 
0.2%
2.870405623 3
 
0.1%
2.815374459 15
0.6%
2.466397471 15
0.6%
2.362611062 15
0.6%
2.339218647 1
 
< 0.1%
2.335164745 15
0.6%
2.322587236 5
 
0.2%
2.314285714 7
0.3%
2.275383125 15
0.6%

feature_10
Real number (ℝ)

ZEROS 

Distinct576
Distinct (%)22.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.030505042
Minimum0
Maximum1
Zeros633
Zeros (%)24.7%
Negative0
Negative (%)0.0%
Memory size33.7 KiB
2024-09-06T17:57:56.792430image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11.0324071 × 10-5
median9.9910081 × 10-5
Q30.00028552519
95-th percentile0.22249468
Maximum1
Range1
Interquartile range (IQR)0.00027520112

Descriptive statistics

Standard deviation0.10337905
Coefficient of variation (CV)3.3889168
Kurtosis23.856552
Mean0.030505042
Median Absolute Deviation (MAD)9.9910081 × 10-5
Skewness4.4740234
Sum78.245433
Variance0.010687228
MonotonicityNot monotonic
2024-09-06T17:57:59.011930image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 633
 
24.7%
3.333777837 × 10-535
 
1.4%
2.601930117 × 10-531
 
1.2%
0.000100010001 25
 
1.0%
2.064750254 × 10-521
 
0.8%
0.0001333422228 21
 
0.8%
5.00050005 × 10-520
 
0.8%
2.064792886 × 10-517
 
0.7%
2.000360065 × 10-516
 
0.6%
0.0002147291846 15
 
0.6%
Other values (566) 1731
67.5%
ValueCountFrequency (%)
0 633
24.7%
1.032407102 × 10-59
 
0.4%
1.300948134 × 10-515
 
0.6%
1.461137008 × 10-53
 
0.1%
1.461137008 × 10-58
 
0.3%
1.461137008 × 10-54
 
0.2%
1.461411269 × 10-51
 
< 0.1%
1.666972278 × 10-52
 
0.1%
1.711361508 × 10-57
 
0.3%
1.711361508 × 10-57
 
0.3%
ValueCountFrequency (%)
1 2
0.1%
0.8725184053 3
0.1%
0.7450433123 1
 
< 0.1%
0.7450335595 1
 
< 0.1%
0.7450303085 1
 
< 0.1%
0.6608126585 1
 
< 0.1%
0.6579231179 1
 
< 0.1%
0.6578303738 1
 
< 0.1%
0.6578245185 1
 
< 0.1%
0.6577952392 1
 
< 0.1%

feature_11
Boolean

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size16.2 KiB
False
2250 
True
315 
ValueCountFrequency (%)
False 2250
87.7%
True 315
 
12.3%
2024-09-06T17:58:01.020952image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

feature_12
Real number (ℝ)

Distinct10
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1594.1861
Minimum1400
Maximum1809.9485
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size33.7 KiB
2024-09-06T17:58:02.781329image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum1400
5-th percentile1400
Q11400
median1604.9742
Q31809.9485
95-th percentile1809.9485
Maximum1809.9485
Range409.94845
Interquartile range (IQR)409.94845

Descriptive statistics

Standard deviation169.238
Coefficient of variation (CV)0.1061595
Kurtosis-1.5266126
Mean1594.1861
Median Absolute Deviation (MAD)204.97423
Skewness0.098026439
Sum4089087.4
Variance28641.5
MonotonicityNot monotonic
2024-09-06T17:58:04.226760image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
1400 675
26.3%
1809.948452 405
15.8%
1809.948452 270
 
10.5%
1604.974226 270
 
10.5%
1604.974226 270
 
10.5%
1400 135
 
5.3%
1604.974226 135
 
5.3%
1400 135
 
5.3%
1809.948452 135
 
5.3%
1604.974226 135
 
5.3%
ValueCountFrequency (%)
1400 135
 
5.3%
1400 675
26.3%
1400 135
 
5.3%
1604.974226 135
 
5.3%
1604.974226 135
 
5.3%
1604.974226 270
 
10.5%
1604.974226 270
 
10.5%
1809.948452 405
15.8%
1809.948452 270
 
10.5%
1809.948452 135
 
5.3%
ValueCountFrequency (%)
1809.948452 135
 
5.3%
1809.948452 270
 
10.5%
1809.948452 405
15.8%
1604.974226 270
 
10.5%
1604.974226 270
 
10.5%
1604.974226 135
 
5.3%
1604.974226 135
 
5.3%
1400 135
 
5.3%
1400 675
26.3%
1400 135
 
5.3%

feature_13
Real number (ℝ)

Distinct12
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.0460039
Minimum1
Maximum12
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size33.7 KiB
2024-09-06T17:58:05.265448image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q13
median6
Q39
95-th percentile12
Maximum12
Range11
Interquartile range (IQR)6

Descriptive statistics

Standard deviation3.4759353
Coefficient of variation (CV)0.5749145
Kurtosis-1.1908867
Mean6.0460039
Median Absolute Deviation (MAD)3
Skewness0.11181081
Sum15508
Variance12.082126
MonotonicityNot monotonic
2024-09-06T17:58:06.314296image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
1 334
13.0%
4 274
10.7%
9 262
10.2%
7 233
9.1%
5 211
8.2%
2 198
7.7%
3 191
7.4%
11 185
7.2%
6 182
7.1%
8 178
6.9%
Other values (2) 317
12.4%
ValueCountFrequency (%)
1 334
13.0%
2 198
7.7%
3 191
7.4%
4 274
10.7%
5 211
8.2%
6 182
7.1%
7 233
9.1%
8 178
6.9%
9 262
10.2%
10 145
5.7%
ValueCountFrequency (%)
12 172
6.7%
11 185
7.2%
10 145
5.7%
9 262
10.2%
8 178
6.9%
7 233
9.1%
6 182
7.1%
5 211
8.2%
4 274
10.7%
3 191
7.4%

feature_14
Real number (ℝ)

Distinct2105
Distinct (%)82.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean28219920
Minimum1980.031
Maximum1.0011575 × 108
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size33.7 KiB
2024-09-06T17:58:07.491778image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum1980.031
5-th percentile232867.8
Q11627090.5
median19111067
Q353904171
95-th percentile76836718
Maximum1.0011575 × 108
Range1.0011377 × 108
Interquartile range (IQR)52277080

Descriptive statistics

Standard deviation27528256
Coefficient of variation (CV)0.97549021
Kurtosis-0.99193792
Mean28219920
Median Absolute Deviation (MAD)18156200
Skewness0.64193663
Sum7.2384094 × 1010
Variance7.5780486 × 1014
MonotonicityNot monotonic
2024-09-06T17:58:08.701076image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
12618408.47 11
 
0.4%
23372719.79 10
 
0.4%
22947680.4 9
 
0.4%
21416381.69 8
 
0.3%
11029295.26 8
 
0.3%
20913158.26 7
 
0.3%
23493150.93 6
 
0.2%
18470083.25 6
 
0.2%
24760608.41 6
 
0.2%
20958913.27 6
 
0.2%
Other values (2095) 2488
97.0%
ValueCountFrequency (%)
1980.030969 1
 
< 0.1%
1984.702048 1
 
< 0.1%
1999.380657 1
 
< 0.1%
2006.991707 1
 
< 0.1%
2025.397332 1
 
< 0.1%
2034.695969 1
 
< 0.1%
2034.697805 3
0.1%
2035.975599 1
 
< 0.1%
2036.904181 1
 
< 0.1%
2059.654992 1
 
< 0.1%
ValueCountFrequency (%)
100115750.4 1
< 0.1%
99393526.23 1
< 0.1%
99075367.98 1
< 0.1%
98882137.82 1
< 0.1%
98060418.87 1
< 0.1%
96782532.07 1
< 0.1%
96707331.43 1
< 0.1%
96204138.79 1
< 0.1%
95192958.12 1
< 0.1%
94897535.69 1
< 0.1%

feature_15
Real number (ℝ)

ZEROS 

Distinct777
Distinct (%)30.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean748660.57
Minimum0
Maximum15816156
Zeros340
Zeros (%)13.3%
Negative0
Negative (%)0.0%
Memory size33.7 KiB
2024-09-06T17:58:09.739007image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q1225.70985
median3160.3098
Q37599.1898
95-th percentile5371504.6
Maximum15816156
Range15816156
Interquartile range (IQR)7373.48

Descriptive statistics

Standard deviation2106412.1
Coefficient of variation (CV)2.8135743
Kurtosis13.672852
Mean748660.57
Median Absolute Deviation (MAD)3012.7999
Skewness3.5892227
Sum1.9203144 × 109
Variance4.436972 × 1012
MonotonicityNot monotonic
2024-09-06T17:58:10.907463image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 340
 
13.3%
357.3406443 76
 
3.0%
2624.298812 60
 
2.3%
2830.847144 47
 
1.8%
4081.539399 46
 
1.8%
3366.858111 43
 
1.7%
178.6703221 43
 
1.7%
893.3516107 38
 
1.5%
3160.309779 33
 
1.3%
2473.5065 32
 
1.2%
Other values (767) 1807
70.4%
ValueCountFrequency (%)
0 340
13.3%
51.31462723 3
 
0.1%
51.31471055 1
 
< 0.1%
52.67503037 5
 
0.2%
52.69519786 2
 
0.1%
52.6952822 4
 
0.2%
65.35563547 5
 
0.2%
65.44740436 2
 
0.1%
65.45222589 4
 
0.2%
65.51021856 3
 
0.1%
ValueCountFrequency (%)
15816155.51 1
< 0.1%
14029094.94 1
< 0.1%
14026800.11 1
< 0.1%
14025839.6 1
< 0.1%
14025660.93 1
< 0.1%
14025660.93 1
< 0.1%
14025482.26 2
0.1%
12244122.67 1
< 0.1%
12242447.48 1
< 0.1%
12238395.97 1
< 0.1%

feature_16
Real number (ℝ)

ZEROS 

Distinct979
Distinct (%)38.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.014141595
Minimum0
Maximum0.46103633
Zeros297
Zeros (%)11.6%
Negative0
Negative (%)0.0%
Memory size33.7 KiB
2024-09-06T17:58:11.879208image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11.2697356 × 10-5
median5.2505257 × 10-5
Q30.00093880845
95-th percentile0.070483288
Maximum0.46103633
Range0.46103633
Interquartile range (IQR)0.00092611109

Descriptive statistics

Standard deviation0.037107188
Coefficient of variation (CV)2.6239748
Kurtosis38.692074
Mean0.014141595
Median Absolute Deviation (MAD)5.0960827 × 10-5
Skewness5.1407668
Sum36.27319
Variance0.0013769434
MonotonicityNot monotonic
2024-09-06T17:58:13.034657image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 297
 
11.6%
0.0001989990772 15
 
0.6%
0.0001143858232 15
 
0.6%
1.543761366 × 10-515
 
0.6%
0.0001066873289 15
 
0.6%
3.351150197 × 10-615
 
0.6%
0.0001948267603 15
 
0.6%
0.05069208196 15
 
0.6%
0.0001255496007 15
 
0.6%
0.00059878184 15
 
0.6%
Other values (969) 2133
83.2%
ValueCountFrequency (%)
0 297
11.6%
1.451303062 × 10-61
 
< 0.1%
1.451303062 × 10-61
 
< 0.1%
1.54442987 × 10-61
 
< 0.1%
1.56864929 × 10-61
 
< 0.1%
1.637751022 × 10-61
 
< 0.1%
1.641874469 × 10-61
 
< 0.1%
1.72227076 × 10-61
 
< 0.1%
1.726910035 × 10-61
 
< 0.1%
1.747746802 × 10-61
 
< 0.1%
ValueCountFrequency (%)
0.4610363349 2
0.1%
0.4063036531 1
< 0.1%
0.3308065062 1
< 0.1%
0.3308033076 1
< 0.1%
0.3127050627 1
< 0.1%
0.3057218221 1
< 0.1%
0.3057198922 1
< 0.1%
0.3016500823 1
< 0.1%
0.3016474227 1
< 0.1%
0.2824657838 1
< 0.1%

feature_17
Real number (ℝ)

ZEROS 

Distinct29
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.14484823
Minimum-0.10714286
Maximum0.39285714
Zeros67
Zeros (%)2.6%
Negative275
Negative (%)10.7%
Memory size33.7 KiB
2024-09-06T17:58:14.954551image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-0.10714286
5-th percentile-0.035714286
Q10.071428571
median0.14285714
Q30.23214286
95-th percentile0.32142857
Maximum0.39285714
Range0.5
Interquartile range (IQR)0.16071429

Descriptive statistics

Standard deviation0.10886671
Coefficient of variation (CV)0.75159159
Kurtosis-0.68703662
Mean0.14484823
Median Absolute Deviation (MAD)0.071428571
Skewness-0.041153485
Sum371.53571
Variance0.011851961
MonotonicityNot monotonic
2024-09-06T17:58:16.884070image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=29)
ValueCountFrequency (%)
0.125 195
 
7.6%
0.2142857143 185
 
7.2%
0.1428571429 177
 
6.9%
0.1607142857 170
 
6.6%
0.1071428571 146
 
5.7%
0.25 146
 
5.7%
0.08928571429 127
 
5.0%
0.07142857143 126
 
4.9%
-0.01785714286 125
 
4.9%
0.03571428571 104
 
4.1%
Other values (19) 1064
41.5%
ValueCountFrequency (%)
-0.1071428571 11
 
0.4%
-0.08928571429 1
 
< 0.1%
-0.07142857143 71
2.8%
-0.05357142857 5
 
0.2%
-0.03571428571 62
2.4%
-0.01785714286 125
4.9%
0 67
2.6%
0.01785714286 61
2.4%
0.03571428571 104
4.1%
0.05357142857 92
3.6%
ValueCountFrequency (%)
0.3928571429 1
 
< 0.1%
0.375 18
 
0.7%
0.3571428571 45
 
1.8%
0.3392857143 37
 
1.4%
0.3214285714 72
2.8%
0.3035714286 77
3.0%
0.2857142857 96
3.7%
0.2678571429 56
 
2.2%
0.25 146
5.7%
0.2321428571 98
3.8%

feature_18
Categorical

UNIFORM 

Distinct3
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size33.7 KiB
58035714.28571428
855 
81250000.0
855 
114285714.28571428
855 

Length

Max length18
Median length17
Mean length15
Min length10

Characters and Unicode

Total characters38475
Distinct characters9
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row58035714.28571428
2nd row81250000.0
3rd row114285714.28571428
4th row58035714.28571428
5th row81250000.0

Common Values

ValueCountFrequency (%)
58035714.28571428 855
33.3%
81250000.0 855
33.3%
114285714.28571428 855
33.3%

Length

2024-09-06T17:58:19.230327image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-09-06T17:58:21.226514image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
ValueCountFrequency (%)
58035714.28571428 855
33.3%
81250000.0 855
33.3%
114285714.28571428 855
33.3%

Most occurring characters

ValueCountFrequency (%)
8 5985
15.6%
1 5985
15.6%
5 5130
13.3%
0 5130
13.3%
2 5130
13.3%
4 4275
11.1%
7 3420
8.9%
. 2565
6.7%
3 855
 
2.2%

Most occurring categories

ValueCountFrequency (%)
(unknown) 38475
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
8 5985
15.6%
1 5985
15.6%
5 5130
13.3%
0 5130
13.3%
2 5130
13.3%
4 4275
11.1%
7 3420
8.9%
. 2565
6.7%
3 855
 
2.2%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 38475
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
8 5985
15.6%
1 5985
15.6%
5 5130
13.3%
0 5130
13.3%
2 5130
13.3%
4 4275
11.1%
7 3420
8.9%
. 2565
6.7%
3 855
 
2.2%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 38475
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
8 5985
15.6%
1 5985
15.6%
5 5130
13.3%
0 5130
13.3%
2 5130
13.3%
4 4275
11.1%
7 3420
8.9%
. 2565
6.7%
3 855
 
2.2%

feature_19
Real number (ℝ)

ZEROS 

Distinct1356
Distinct (%)52.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.014141595
Minimum0
Maximum0.34693699
Zeros178
Zeros (%)6.9%
Negative0
Negative (%)0.0%
Memory size33.7 KiB
2024-09-06T17:58:22.989893image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11.7706213 × 10-5
median8.6154128 × 10-5
Q30.013145575
95-th percentile0.070482665
Maximum0.34693699
Range0.34693699
Interquartile range (IQR)0.013127869

Descriptive statistics

Standard deviation0.034476216
Coefficient of variation (CV)2.4379299
Kurtosis25.897714
Mean0.014141595
Median Absolute Deviation (MAD)8.0729754 × 10-5
Skewness4.3724214
Sum36.27319
Variance0.0011886095
MonotonicityNot monotonic
2024-09-06T17:58:25.330583image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 178
 
6.9%
0.0002944070585 15
 
0.6%
2.421818441 × 10-515
 
0.6%
0.0001780743496 15
 
0.6%
3.163485733 × 10-615
 
0.6%
0.0001942850581 15
 
0.6%
0.0003583663538 15
 
0.6%
3.351150197 × 10-615
 
0.6%
0.0001417173316 15
 
0.6%
0.0003893380137 15
 
0.6%
Other values (1346) 2252
87.8%
ValueCountFrequency (%)
0 178
6.9%
1.909315961 × 10-61
 
< 0.1%
1.940577128 × 10-61
 
< 0.1%
2.096952802 × 10-61
 
< 0.1%
2.10383424 × 10-61
 
< 0.1%
2.149032764 × 10-61
 
< 0.1%
2.188718032 × 10-61
 
< 0.1%
2.196216006 × 10-61
 
< 0.1%
2.245517628 × 10-61
 
< 0.1%
2.351073492 × 10-61
 
< 0.1%
ValueCountFrequency (%)
0.3469369873 1
< 0.1%
0.3294807031 1
< 0.1%
0.325938134 1
< 0.1%
0.3252982176 1
< 0.1%
0.2851302851 1
< 0.1%
0.2772090447 1
< 0.1%
0.2712564478 1
< 0.1%
0.2710908247 1
< 0.1%
0.2684257643 1
< 0.1%
0.2645874018 1
< 0.1%

Interactions

2024-09-06T17:56:18.621532image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-09-06T17:47:34.033109image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-09-06T17:48:03.596752image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-09-06T17:48:27.641734image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-09-06T17:48:52.980799image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-09-06T17:49:14.481055image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-09-06T17:49:51.953235image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-09-06T17:50:22.531513image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-09-06T17:51:00.532705image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-09-06T17:51:27.029089image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-09-06T17:52:03.026055image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-09-06T17:52:29.426328image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-09-06T17:52:50.828288image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-09-06T17:53:19.112697image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-09-06T17:53:53.622420image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-09-06T17:54:18.827113image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-09-06T17:54:56.578509image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-09-06T17:55:20.848886image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-09-06T17:55:55.490123image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-09-06T17:56:20.581364image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-09-06T17:47:36.183507image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-09-06T17:48:04.553864image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-09-06T17:48:29.540666image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-09-06T17:48:54.379235image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-09-06T17:49:17.136838image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-09-06T17:49:54.014640image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-09-06T17:50:24.584979image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-09-06T17:51:02.706060image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-09-06T17:51:28.892289image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-09-06T17:52:04.368454image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-09-06T17:52:30.750943image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-09-06T17:52:52.757717image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-09-06T17:53:20.962595image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-09-06T17:53:55.189575image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-09-06T17:54:21.416730image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-09-06T17:54:58.894886image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-09-06T17:55:22.616166image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-09-06T17:55:57.338589image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-09-06T17:56:22.503401image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-09-06T17:47:37.140317image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-09-06T17:48:05.391888image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-09-06T17:48:32.047970image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-09-06T17:48:55.556913image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-09-06T17:49:18.823771image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-09-06T17:49:56.516990image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-09-06T17:50:26.742479image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-09-06T17:51:04.103078image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-09-06T17:51:30.759742image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-09-06T17:52:05.412048image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-09-06T17:52:31.738715image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-09-06T17:52:54.645768image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-09-06T17:53:22.976042image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-09-06T17:53:56.612414image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-09-06T17:54:23.223728image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-09-06T17:55:00.375623image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-09-06T17:55:24.257000image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-09-06T17:55:59.036545image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-09-06T17:56:24.475992image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-09-06T17:47:38.478137image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-09-06T17:48:06.232665image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-09-06T17:48:34.115926image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-09-06T17:48:58.276172image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-09-06T17:49:21.700945image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-09-06T17:49:58.407124image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-09-06T17:50:28.850600image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-09-06T17:51:05.532975image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-09-06T17:51:32.766211image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-09-06T17:52:06.189327image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-09-06T17:52:32.798080image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-09-06T17:52:56.507216image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-09-06T17:53:24.779928image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-09-06T17:53:57.758714image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-09-06T17:54:25.403141image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-09-06T17:55:01.883495image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-09-06T17:55:26.182829image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-09-06T17:56:01.822054image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-09-06T17:56:26.565498image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-09-06T17:47:39.652563image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-09-06T17:48:07.079142image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-09-06T17:48:36.815866image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-09-06T17:49:00.130454image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-09-06T17:49:24.042368image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-09-06T17:50:00.411116image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-09-06T17:50:30.706306image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-09-06T17:51:06.309108image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-09-06T17:51:34.808721image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-09-06T17:52:06.968115image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-09-06T17:52:33.806137image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-09-06T17:52:58.345996image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-09-06T17:53:26.577523image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-09-06T17:53:58.516905image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-09-06T17:54:27.413637image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-09-06T17:55:02.823010image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-09-06T17:55:27.945577image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-09-06T17:56:03.667824image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-09-06T17:56:28.571660image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-09-06T17:47:40.449832image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-09-06T17:48:07.852865image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-09-06T17:48:38.481883image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-09-06T17:49:02.377818image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-09-06T17:49:25.737426image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-09-06T17:50:02.605143image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-09-06T17:50:32.538446image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-09-06T17:51:06.934294image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-09-06T17:51:36.526437image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-09-06T17:52:07.698370image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-09-06T17:52:34.738281image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-09-06T17:53:00.136617image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-09-06T17:53:28.705590image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-09-06T17:53:59.185372image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-09-06T17:54:29.452930image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-09-06T17:55:03.706399image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-09-06T17:55:29.670466image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-09-06T17:56:04.979333image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-09-06T17:56:30.677933image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-09-06T17:47:41.337869image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-09-06T17:48:08.752157image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-09-06T17:48:40.088647image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-09-06T17:49:03.813622image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-09-06T17:49:27.681799image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-09-06T17:50:04.244273image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-09-06T17:50:34.608111image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-09-06T17:51:07.559327image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-09-06T17:51:39.127190image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-09-06T17:52:08.517625image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-09-06T17:52:36.154336image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-09-06T17:53:02.703344image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-09-06T17:53:30.595290image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-09-06T17:54:00.134028image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-09-06T17:54:31.449827image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-09-06T17:55:04.771955image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-09-06T17:55:31.659608image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-09-06T17:56:06.125824image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-09-06T17:56:32.759901image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-09-06T17:47:42.517045image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-09-06T17:48:09.403464image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
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2024-09-06T17:53:16.127741image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-09-06T17:53:50.164560image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-09-06T17:54:16.339735image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-09-06T17:54:52.553579image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-09-06T17:55:16.556287image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-09-06T17:55:51.781295image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-09-06T17:56:14.429153image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-09-06T17:56:53.793988image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-09-06T17:48:01.207663image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-09-06T17:48:25.600006image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-09-06T17:48:50.068689image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-09-06T17:49:12.079764image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-09-06T17:49:50.002021image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-09-06T17:50:20.072890image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-09-06T17:50:58.234091image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-09-06T17:51:25.099968image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-09-06T17:52:01.221971image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-09-06T17:52:27.756166image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-09-06T17:52:49.145365image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-09-06T17:53:17.310042image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-09-06T17:53:51.046132image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-09-06T17:54:17.472492image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-09-06T17:54:54.372875image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-09-06T17:55:18.728569image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-09-06T17:55:53.577015image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-09-06T17:56:16.612367image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Missing values

2024-09-06T17:56:57.302847image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-09-06T17:57:03.248777image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

Sample

cell_xcell_ycell_zfeature_1feature_2feature_3feature_4feature_5feature_6feature_7feature_8feature_9feature_10feature_11feature_12feature_13feature_14feature_15feature_16feature_17feature_18feature_19
datecell_id
2024-01-0101400.01.136868e-1336.00.05.628905e+075.276937e+071.182938e+081441.1675820.2116730.5534405.277167e+071.0294050.203464True1400.07.05.628882e+075.376503e+060.0208850.2142865.803571e+070.183350
11400.01.136868e-1336.02.01.448895e+078.940317e+064.589672e+03565.1061850.2510470.4200408.940317e+060.4036470.000982False1400.09.01.448893e+072.624299e+030.0002530.1428578.125000e+070.000008
21400.01.136868e-1336.00.04.619858e+061.917261e+073.462102e+062045.7245660.7391791.0000001.917261e+071.4612320.000000False1400.04.04.619858e+062.142543e+020.0000440.1428571.142857e+080.000146
31400.01.136868e-1336.03.07.812103e+072.953364e+071.607711e+071974.7265630.0277940.3977072.953364e+071.4105190.000000True1400.06.07.812001e+071.937496e+030.1897140.0714295.803571e+070.028831
41400.01.136868e-1336.00.08.155186e+068.916038e+075.362047e+062307.3467450.4761420.4038948.916038e+071.6481050.000017False1400.09.08.155186e+063.160310e+030.0000130.1250008.125000e+070.000224
51400.01.136868e-1336.01.01.512829e+061.879916e+071.263476e+032142.8229041.6174300.8676681.879916e+071.5305880.000017False1400.05.01.512829e+069.837117e+010.0000370.2678571.142857e+080.000889
61400.01.136868e-1336.00.05.210668e+075.633682e+074.080741e+072545.6246780.0681070.4376085.633700e+071.8183030.000134True1400.012.05.210622e+071.796446e+060.0367770.2142865.803571e+070.039165
71400.01.136868e-1336.00.08.112109e+064.767922e+071.608254e+071620.0632700.5371380.3899144.767922e+071.1571880.000050False1400.02.08.112090e+061.758825e+030.0000080.0714298.125000e+070.000046
81400.01.136868e-1336.03.01.574739e+063.582078e+064.232332e+03731.3036310.4919500.7233633.582078e+060.5223600.000000False1400.08.01.574739e+060.000000e+000.0009390.0357141.142857e+080.000071
9700.01.212436e+0346.03.07.166899e+075.990993e+079.411888e+071695.6447350.1277670.6610885.990993e+071.2111750.226178True1400.011.07.166771e+073.583038e+060.0231950.2321435.803571e+070.000000
cell_xcell_ycell_zfeature_1feature_2feature_3feature_4feature_5feature_6feature_7feature_8feature_9feature_10feature_11feature_12feature_13feature_14feature_15feature_16feature_17feature_18feature_19
datecell_id
2024-01-151619.094947e-132424.87113140.02.06.874301e+051.875549e+073.896303e+051060.3197190.9269481.0000001.875549e+070.6606460.000000False1604.97422610.06.874301e+050.000000e+000.0000540.3214291.142857e+080.000111
1621.400000e+032424.87113152.00.06.935673e+073.367151e+075.990316e+071016.1950060.0585210.3007593.367508e+070.5614500.166776False1809.94845212.06.935619e+071.799579e+060.0190900.1071435.803571e+070.118020
1631.400000e+032424.87113152.00.02.972542e+073.215986e+072.501501e+07790.6487390.0702820.3376323.215986e+070.4368350.000075False1809.9484526.02.972536e+072.473507e+030.0000000.1071438.125000e+070.000020
1641.400000e+032424.87113152.00.04.753994e+051.250853e+076.878999e+06804.5502220.5084800.6944181.250853e+070.4445160.000050False1809.94845212.04.753994e+051.786703e+020.0000180.1071431.142857e+080.000126
1651.400000e+032424.87113152.00.07.034713e+073.695862e+074.711662e+07575.0612520.0158290.2680703.695880e+070.3177220.000021False1809.94845210.07.034483e+072.981639e+030.1454140.1071435.803571e+070.015100
1661.400000e+032424.87113152.00.01.892002e+073.188155e+073.517436e+07757.0800470.0400720.2800563.188173e+070.4182880.000421False1809.9484524.01.892001e+073.902869e+030.0000080.2142868.125000e+070.000008
1671.400000e+032424.87113152.00.01.626599e+061.251337e+077.186093e+031587.6688710.3953860.8535621.251337e+070.8771900.000100False1809.94845211.01.626599e+063.573406e+020.0001830.2500001.142857e+080.000115
1681.400000e+032424.87113152.03.05.973766e+072.831064e+078.998928e+071675.6416120.0611590.3148122.831118e+070.9257950.000000False1809.9484528.05.973616e+078.369627e+030.0302000.1428575.803571e+070.061584
1691.400000e+032424.87113152.00.02.514312e+077.626568e+071.251396e+071540.5464260.3349990.3825547.626568e+070.8511550.000140False1809.9484528.02.514306e+075.840365e+030.0000220.1250008.125000e+070.000027
1701.400000e+032424.87113152.01.01.528106e+052.018489e+076.439616e+031534.0435601.1860960.8264622.018489e+070.8475620.000050False1809.9484529.01.528106e+051.474003e+020.0001950.1607141.142857e+080.000158

Duplicate rows

Most frequently occurring

cell_xcell_ycell_zfeature_1feature_2feature_3feature_4feature_5feature_6feature_7feature_8feature_9feature_10feature_11feature_12feature_13feature_14feature_15feature_16feature_17feature_18feature_19# duplicates
4-2800.0-4.547474e-1334.00.02.919738e+052.295660e+077.420514e+03725.5542710.4030380.8058212.295660e+070.4008700.000200False1809.9484529.02.919738e+05893.3509370.0002580.0714291.142857e+080.0003705
0-2800.0-4.547474e-1334.00.02.328678e+053.583602e+067.777860e+03468.8752500.5652460.6667163.583602e+060.2590540.000497False1809.9484522.02.328678e+05893.3516110.000199-0.0178571.142857e+080.0002564
2-2800.0-4.547474e-1334.00.02.329591e+053.583602e+067.777860e+03468.8752500.5693460.6665603.583602e+060.2590540.000497False1809.9484522.02.329591e+05893.3516110.000199-0.0178571.142857e+080.0002564
6-2800.0-4.547474e-1334.00.02.920043e+052.295660e+077.420514e+03725.5542710.4030380.8057012.295660e+070.4008700.000200False1809.9484529.02.920043e+05893.3509450.0002580.0714291.142857e+080.0003704
8-2100.0-1.212436e+0344.00.05.597693e+032.517404e+071.366035e+061491.6084861.3576640.7373582.517404e+070.9293660.000000False1604.9742266.05.597693e+03271.6567970.0000450.0357141.142857e+080.0001624
10-2100.0-1.212436e+0344.00.05.600130e+032.517659e+071.366173e+061491.6084861.3617640.7373022.517659e+070.9293660.000000False1604.9742266.05.600130e+03271.6843540.0000450.0357141.142857e+080.0001624
22-1400.02.424871e+0344.00.01.045406e+062.076107e+074.373268e+06800.5912320.1950931.0000002.076107e+070.4423280.000000False1809.94845210.01.045406e+06109.2720230.0000380.3214291.142857e+080.0000404
24-1400.02.424871e+0344.00.01.046904e+062.076167e+074.373395e+06800.5912320.1950931.0000002.076167e+070.4423280.000000False1809.94845210.01.046904e+06109.2751890.0000380.3214291.142857e+080.0000404
21-1400.02.424871e+0344.00.01.042517e+062.074004e+074.368837e+06800.5912320.1950931.0000002.074004e+070.4423280.000000False1809.94845210.01.042517e+06109.1613130.0000380.3214291.142857e+080.0000403
27-700.0-1.212436e+0336.00.02.034698e+031.798049e+071.745698e+031063.9103700.8750911.0000001.798049e+070.7599360.000033False1400.0000007.02.034698e+0375.8999060.0001380.1428571.142857e+080.0001473